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import datasets |
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from datasets import DatasetInfo, DownloadManager |
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from NASA_OSDR import NasaOsdr |
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def test_inherit_generator_base_builder_works(): |
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class Child(datasets.GeneratorBasedBuilder): |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig( |
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name="some dataset", |
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version=datasets.Version("1.0.0"), |
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description="some description", |
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) |
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] |
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DEFAULT_CONFIG_NAME = "some dataset" |
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def _info(self) -> DatasetInfo: |
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return datasets.DatasetInfo( |
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description="""dadada """, |
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features=None, |
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supervised_keys=None, |
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homepage="dada", |
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license="dada", |
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citation="dsada", |
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) |
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child = Child() |
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assert child |
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def test_generate_examples(): |
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dataset = NasaOsdr(name='experiments') |
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train_data = dataset._generate_examples(file='data/train/experiments.csv') |
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idx, sample = next(iter(train_data)) |
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print(idx, sample.keys()) |
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dataset = NasaOsdr(name='samples') |
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train_data = dataset._generate_examples(file='data/train/samples.csv') |
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idx, sample = next(iter(train_data)) |
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print(idx, sample.keys()) |
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def test_load_dataset(): |
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from datasets import load_dataset |
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experiments_dataset = load_dataset("nasa_osdr.py", "experiments") |
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print(len(experiments_dataset["train"])) |
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print(experiments_dataset['train'][:10]) |
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samples_dataset = load_dataset("nasa_osdr.py", "samples") |
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print(len(samples_dataset["train"])) |
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print(samples_dataset['train'][:10]) |
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